{smcl}
{txt}{sf}{ul off}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\gk57526\Dropbox\Executive Particularism (Matt Zarit)\Contract Duration\May 2020\Output Files\selling_out.MANUSCRIPT MODELS.06-01-2021.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 1 Jun 2021, 11:24:41
{txt}
{com}. 
. 
. 
. 
. 
. *** MODELING CONTRACT LENGTH FOR GIVEN CONTRACTUAL DESIGNS FOR U.S. FEDERAL PROCUREMENTS [SUPPLY & COST STRUCTURES] EXCEEDING FAR SIMPLE REQUIREMENTS ***
. 
. 
. 
. **** ACCESS DATABASE ***
. 
. use "C:\Users\gk57526\Dropbox\Executive Particularism (Matt Zarit)\Contract Duration\Data\zarit_contractingdata_duration.FAR threshold.5_29_2021.dta", replace
{txt}
{com}. 
. 
. 
. 
. ***** GENERATE BINARY INDICATORS FOR EACH TYPE OF CONTRACTUAL STRUCTURE SUBSAMPLE ****
. 
. 
. *** FAVORABLE AGENCY CONTRACTS ON BOTH SUPPLY AND COST DIMENSIONS ***
. 
. **gen m11 = 1 if tri_bid==0 & fixedfirmprice==1
. **replace m11 = 0 if m11 ==.
. *
. *
. *
. *
. *
. *
. *** UNFAVORABLE AGENCY CONTRACTS ON BOTH SUPPLY AND COST DIMENSIONS ***
. 
. **gen m00closed = 1 if tri_bid==2 & fixedfirmprice==0
. **replace m00closed = 0 if m00closed ==.
. *
. *
. 
. 
. ***********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. *** COMPUTE 2009 CONSTANT DOLLAR VALUES AND CONVERT INTO NATURAL LOGARITHMS(+1) ***  
. 
. **gen annualrevenue_adj = annualrevenue/(gdpdef*.01)
. *
. **gen lnannualrevenue_adj = ln(annualrevenue_adj + 1)
. *
. *
. **gen vendorsum_adj = vendor_sum/(gdpdef*.01)
. *
. **gen lnvendorsum_adj = ln(vendorsum_adj)
. *
. *
. **gen pres_donor_pac_amount_adj = pres_donor_pac_amount/(gdpdef*.01)
. *
. **gen lnpres_donor_pac_amount_adj = ln(pres_donor_pac_amount_adj + 1)
. 
. 
. 
. 
. 
. *** PART I DESCRIPTIVE ANALYSES: CHOICE OF CONTRACT STRUCTURE [PROBIT REGRESSIONS ANALYZING VARIOUS COMBINATIONS OF CONTRACT STRUCTURES: SUPPLY & COST STRUCTURE COMBINATIONS]
. 
. 
. 
. 
.  
. *** FIGURE 1 ***
. 
. 
. *** {c -(}MATT, PLEASE MAKE FIGURE 1 GRAPH OF "FIGURE 1: DISTRIBUTION OF FEDERAL CONTRACTS BY CONTRACT TYPE AND DURATION: FAVORABLE VERSUS UNFAVORABLE 'BUYER' TERMS FOR GOVERNMENT" ///
> *** FROM LEFT TO RIGHT [SPACED OUT BY GROUPINGS BELOW]: 
. 
. 
. *** BAR  1: MULTIPLE BIDS & FIXED COSTS -- FULL SAMPLE [BAR 1: CONTRACT TYPE PROPORTION & NUMBER]
. 
. *** BAR  4: ALL CONTRACTS -- FULL SAMPLE [BAR 4: CONTRACT TYPE PROPORTION & NUMBER]
. 
. 
. *** BAR  7: SINGLE BIDS [CLOSED] & VARIABLE COSTS -- FULL SAMPLE [BAR 7: CONTRACT TYPE PROPORTION & NUMBER]
. 
. 
. 
. 
. 
. ***********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. *** PART II ANALYSES: CHOICE OF CONTRACT STRUCTURE [PROBIT REGRESSIONS ANALYZING VARIOUS COMBINATIONS OF CONTRACT STRUCTURES: SUPPLY & COST STRUCTURE COMBINATIONS]
. 
. 
. 
. 
. 
. ***  LOW RISK CONTRACTUAL DESIGNS FROM U.S. FEDERAL GOVERNMENT'S PERSPECTIVE AS A "BUYER" **
. 
. 
. 
. ** 1. FULLY BENEFICIAL TERMS FOR BUYER/AGENCY EFFECTIVE: **
. **    MULTIPLE/COMPETITIVE BIDS  & FIXED COST CONTRACTS [COST PLUS, TIME & MATERIALS, & LABOR] [N = 1,095,724] ***
. 
. probit m11 c.agency_packing##execlevel##pol_align  c.agency_packing##execlevel##pol_opposed  perc_prof  selin1_abszero  selin2_abszero unified lnannualrevenue_adj house_app house_ways house_majority  close_congelect_dist     dod dc_area goods_services lnvendorsum_adj lndollarsobligated_adj  pres_donor_pac lnpres_donor_pac_amount_adj   i.agency yearfe2 yearfe3 yearfe4 yearfe5 yearfe6 yearfe7 yearfe8 yearfe9 yearfe10 yearfe11 yearfe12 yearfe13 yearfe14 yearfe15 yearfe16   i.psc_id, vce(cluster agency)

{txt}note: agency_packing omitted because of collinearity
note: 3.agency omitted because of collinearity
note: 119.agency omitted because of collinearity
note: yearfe10 omitted because of collinearity
note: 102.psc_id omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-740752.89}  
Iteration 1:{space 3}log pseudolikelihood = {res:-641986.16}  
Iteration 2:{space 3}log pseudolikelihood = {res:-641410.86}  
Iteration 3:{space 3}log pseudolikelihood = {res:-641408.73}  
Iteration 4:{space 3}log pseudolikelihood = {res:-641408.73}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res} 1,094,254
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(38)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-641408.73{txt}{col 49}Pseudo R2{col 67}= {res}    0.1341

{txt}{ralign 104:(Std. Err. adjusted for {res:40} clusters in agency)}
{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 40}{c |}{col 52}    Robust
{col 1}                                   m11{col 40}{c |}      Coef.{col 52}   Std. Err.{col 64}      z{col 72}   P>|z|{col 80}     [95% Con{col 93}f. Interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}agency_packing {c |}{col 40}{res}{space 2} .0165131{col 52}{space 2} .9828605{col 63}{space 1}    0.02{col 72}{space 3}0.987{col 80}{space 4}-1.909858{col 93}{space 3} 1.942884
{txt}{space 27}1.execlevel {c |}{col 40}{res}{space 2}  .440144{col 52}{space 2} .1616605{col 63}{space 1}    2.72{col 72}{space 3}0.006{col 80}{space 4} .1232952{col 93}{space 3} .7569929
{txt}{space 38} {c |}
{space 12}execlevel#c.agency_packing {c |}
{space 36}1  {c |}{col 40}{res}{space 2}-.7265511{col 52}{space 2} .3143094{col 63}{space 1}   -2.31{col 72}{space 3}0.021{col 80}{space 4}-1.342586{col 93}{space 3}-.1105161
{txt}{space 38} {c |}
{space 27}1.pol_align {c |}{col 40}{res}{space 2}-.8616473{col 52}{space 2} 1.181778{col 63}{space 1}   -0.73{col 72}{space 3}0.466{col 80}{space 4} -3.17789{col 93}{space 3} 1.454595
{txt}{space 38} {c |}
{space 12}pol_align#c.agency_packing {c |}
{space 36}1  {c |}{col 40}{res}{space 2} -1.18969{col 52}{space 2} 1.354819{col 63}{space 1}   -0.88{col 72}{space 3}0.380{col 80}{space 4}-3.845086{col 93}{space 3} 1.465707
{txt}{space 38} {c |}
{space 19}execlevel#pol_align {c |}
{space 34}1 1  {c |}{col 40}{res}{space 2}-.6996061{col 52}{space 2}  .232537{col 63}{space 1}   -3.01{col 72}{space 3}0.003{col 80}{space 4} -1.15537{col 93}{space 3}-.2438419
{txt}{space 38} {c |}
{space 2}execlevel#pol_align#c.agency_packing {c |}
{space 34}1 1  {c |}{col 40}{res}{space 2} 1.349254{col 52}{space 2}  .478395{col 63}{space 1}    2.82{col 72}{space 3}0.005{col 80}{space 4} .4116174{col 93}{space 3} 2.286891
{txt}{space 38} {c |}
{space 24}agency_packing {c |}{col 40}{res}{space 2}        0{col 52}{txt}  (omitted)
{space 25}1.pol_opposed {c |}{col 40}{res}{space 2}-1.376498{col 52}{space 2} 1.083107{col 63}{space 1}   -1.27{col 72}{space 3}0.204{col 80}{space 4}-3.499349{col 93}{space 3} .7463536
{txt}{space 38} {c |}
{space 10}pol_opposed#c.agency_packing {c |}
{space 36}1  {c |}{col 40}{res}{space 2} .3794328{col 52}{space 2} 1.268883{col 63}{space 1}    0.30{col 72}{space 3}0.765{col 80}{space 4}-2.107532{col 93}{space 3} 2.866398
{txt}{space 38} {c |}
{space 17}execlevel#pol_opposed {c |}
{space 34}1 1  {c |}{col 40}{res}{space 2}-.2877919{col 52}{space 2} .1878641{col 63}{space 1}   -1.53{col 72}{space 3}0.126{col 80}{space 4}-.6559988{col 93}{space 3} .0804149
{txt}{space 38} {c |}
execlevel#pol_opposed#c.agency_packing {c |}
{space 34}1 1  {c |}{col 40}{res}{space 2}-.0852591{col 52}{space 2} .5209259{col 63}{space 1}   -0.16{col 72}{space 3}0.870{col 80}{space 4}-1.106255{col 93}{space 3}  .935737
{txt}{space 38} {c |}
{space 29}perc_prof {c |}{col 40}{res}{space 2} 1.234847{col 52}{space 2} .5288011{col 63}{space 1}    2.34{col 72}{space 3}0.020{col 80}{space 4}  .198416{col 93}{space 3} 2.271278
{txt}{space 24}selin1_abszero {c |}{col 40}{res}{space 2} .8326821{col 52}{space 2} .4418519{col 63}{space 1}    1.88{col 72}{space 3}0.059{col 80}{space 4}-.0333317{col 93}{space 3} 1.698696
{txt}{space 24}selin2_abszero {c |}{col 40}{res}{space 2}  .266704{col 52}{space 2} .1451097{col 63}{space 1}    1.84{col 72}{space 3}0.066{col 80}{space 4}-.0177057{col 93}{space 3} .5511137
{txt}{space 31}unified {c |}{col 40}{res}{space 2} .0749671{col 52}{space 2} .1614024{col 63}{space 1}    0.46{col 72}{space 3}0.642{col 80}{space 4}-.2413758{col 93}{space 3}   .39131
{txt}{space 19}lnannualrevenue_adj {c |}{col 40}{res}{space 2} .0022962{col 52}{space 2} .0013108{col 63}{space 1}    1.75{col 72}{space 3}0.080{col 80}{space 4} -.000273{col 93}{space 3} .0048653
{txt}{space 29}house_app {c |}{col 40}{res}{space 2}-.0571027{col 52}{space 2} .0169549{col 63}{space 1}   -3.37{col 72}{space 3}0.001{col 80}{space 4}-.0903338{col 93}{space 3}-.0238716
{txt}{space 28}house_ways {c |}{col 40}{res}{space 2} .1037157{col 52}{space 2} .0622641{col 63}{space 1}    1.67{col 72}{space 3}0.096{col 80}{space 4}-.0183196{col 93}{space 3} .2257511
{txt}{space 24}house_majority {c |}{col 40}{res}{space 2} .0082565{col 52}{space 2} .0138681{col 63}{space 1}    0.60{col 72}{space 3}0.552{col 80}{space 4}-.0189245{col 93}{space 3} .0354374
{txt}{space 18}close_congelect_dist {c |}{col 40}{res}{space 2}-.0431459{col 52}{space 2} .0124803{col 63}{space 1}   -3.46{col 72}{space 3}0.001{col 80}{space 4}-.0676068{col 93}{space 3}-.0186849
{txt}{space 35}dod {c |}{col 40}{res}{space 2} .8431471{col 52}{space 2} .7511717{col 63}{space 1}    1.12{col 72}{space 3}0.262{col 80}{space 4}-.6291223{col 93}{space 3} 2.315417
{txt}{space 31}dc_area {c |}{col 40}{res}{space 2}-.0408012{col 52}{space 2} .0377603{col 63}{space 1}   -1.08{col 72}{space 3}0.280{col 80}{space 4}-.1148101{col 93}{space 3} .0332077
{txt}{space 24}goods_services {c |}{col 40}{res}{space 2}-.3006569{col 52}{space 2} .2120292{col 63}{space 1}   -1.42{col 72}{space 3}0.156{col 80}{space 4}-.7162264{col 93}{space 3} .1149127
{txt}{space 23}lnvendorsum_adj {c |}{col 40}{res}{space 2} .0116028{col 52}{space 2} .0116256{col 63}{space 1}    1.00{col 72}{space 3}0.318{col 80}{space 4}-.0111829{col 93}{space 3} .0343886
{txt}{space 16}lndollarsobligated_adj {c |}{col 40}{res}{space 2}-.0118722{col 52}{space 2} .0270273{col 63}{space 1}   -0.44{col 72}{space 3}0.660{col 80}{space 4}-.0648446{col 93}{space 3} .0411003
{txt}{space 24}pres_donor_pac {c |}{col 40}{res}{space 2} .4661151{col 52}{space 2} .0883557{col 63}{space 1}    5.28{col 72}{space 3}0.000{col 80}{space 4} .2929411{col 93}{space 3} .6392891
{txt}{space 11}lnpres_donor_pac_amount_adj {c |}{col 40}{res}{space 2}-.0577521{col 52}{space 2} .0089702{col 63}{space 1}   -6.44{col 72}{space 3}0.000{col 80}{space 4}-.0753334{col 93}{space 3}-.0401708
{txt}{space 38} {c |}
{space 32}agency {c |}
{space 36}2  {c |}{col 40}{res}{space 2} .8897578{col 52}{space 2} .7240979{col 63}{space 1}    1.23{col 72}{space 3}0.219{col 80}{space 4}-.5294481{col 93}{space 3} 2.308964
{txt}{space 36}3  {c |}{col 40}{res}{space 2}        0{col 52}{txt}  (omitted)
{space 36}7  {c |}{col 40}{res}{space 2} 1.738245{col 52}{space 2} .6747112{col 63}{space 1}    2.58{col 72}{space 3}0.010{col 80}{space 4}  .415835{col 93}{space 3} 3.060654
{txt}{space 36}8  {c |}{col 40}{res}{space 2} .5743551{col 52}{space 2} .7887957{col 63}{space 1}    0.73{col 72}{space 3}0.467{col 80}{space 4}-.9716561{col 93}{space 3} 2.120366
{txt}{space 36}9  {c |}{col 40}{res}{space 2} .5252234{col 52}{space 2} .7817704{col 63}{space 1}    0.67{col 72}{space 3}0.502{col 80}{space 4}-1.007018{col 93}{space 3} 2.057465
{txt}{space 35}11  {c |}{col 40}{res}{space 2}   1.4593{col 52}{space 2}  .762225{col 63}{space 1}    1.91{col 72}{space 3}0.056{col 80}{space 4}-.0346341{col 93}{space 3} 2.953233
{txt}{space 35}12  {c |}{col 40}{res}{space 2} 1.800476{col 52}{space 2} .7959933{col 63}{space 1}    2.26{col 72}{space 3}0.024{col 80}{space 4} .2403575{col 93}{space 3} 3.360594
{txt}{space 35}13  {c |}{col 40}{res}{space 2} .9421297{col 52}{space 2} .7585062{col 63}{space 1}    1.24{col 72}{space 3}0.214{col 80}{space 4}-.5445151{col 93}{space 3} 2.428774
{txt}{space 35}14  {c |}{col 40}{res}{space 2} .7274625{col 52}{space 2} .7463565{col 63}{space 1}    0.97{col 72}{space 3}0.330{col 80}{space 4}-.7353693{col 93}{space 3} 2.190294
{txt}{space 35}15  {c |}{col 40}{res}{space 2}  1.09465{col 52}{space 2} .7221037{col 63}{space 1}    1.52{col 72}{space 3}0.130{col 80}{space 4}-.3206473{col 93}{space 3} 2.509947
{txt}{space 35}16  {c |}{col 40}{res}{space 2}-.4114253{col 52}{space 2} .3452395{col 63}{space 1}   -1.19{col 72}{space 3}0.233{col 80}{space 4}-1.088082{col 93}{space 3} .2652316
{txt}{space 35}17  {c |}{col 40}{res}{space 2} -.566412{col 52}{space 2} .4065166{col 63}{space 1}   -1.39{col 72}{space 3}0.164{col 80}{space 4} -1.36317{col 93}{space 3} .2303458
{txt}{space 35}18  {c |}{col 40}{res}{space 2} .6816175{col 52}{space 2} .6933526{col 63}{space 1}    0.98{col 72}{space 3}0.326{col 80}{space 4}-.6773287{col 93}{space 3} 2.040564
{txt}{space 35}19  {c |}{col 40}{res}{space 2}-.8507114{col 52}{space 2} .5618744{col 63}{space 1}   -1.51{col 72}{space 3}0.130{col 80}{space 4}-1.951965{col 93}{space 3} .2505423
{txt}{space 35}21  {c |}{col 40}{res}{space 2} .0248183{col 52}{space 2} .7705755{col 63}{space 1}    0.03{col 72}{space 3}0.974{col 80}{space 4}-1.485482{col 93}{space 3} 1.535118
{txt}{space 35}23  {c |}{col 40}{res}{space 2}-.6542404{col 52}{space 2} .3687028{col 63}{space 1}   -1.77{col 72}{space 3}0.076{col 80}{space 4}-1.376885{col 93}{space 3} .0684038
{txt}{space 35}24  {c |}{col 40}{res}{space 2}-1.588957{col 52}{space 2} .6030083{col 63}{space 1}   -2.64{col 72}{space 3}0.008{col 80}{space 4}-2.770831{col 93}{space 3}-.4070823
{txt}{space 35}25  {c |}{col 40}{res}{space 2}  1.34513{col 52}{space 2} .4951174{col 63}{space 1}    2.72{col 72}{space 3}0.007{col 80}{space 4} .3747174{col 93}{space 3} 2.315542
{txt}{space 35}26  {c |}{col 40}{res}{space 2}-.2647139{col 52}{space 2} .6777983{col 63}{space 1}   -0.39{col 72}{space 3}0.696{col 80}{space 4}-1.593174{col 93}{space 3} 1.063746
{txt}{space 35}27  {c |}{col 40}{res}{space 2} .7884949{col 52}{space 2} .7059713{col 63}{space 1}    1.12{col 72}{space 3}0.264{col 80}{space 4}-.5951834{col 93}{space 3} 2.172173
{txt}{space 35}33  {c |}{col 40}{res}{space 2} -2.57177{col 52}{space 2} 1.063117{col 63}{space 1}   -2.42{col 72}{space 3}0.016{col 80}{space 4}-4.655442{col 93}{space 3}-.4880982
{txt}{space 35}34  {c |}{col 40}{res}{space 2}-2.345597{col 52}{space 2} .7867712{col 63}{space 1}   -2.98{col 72}{space 3}0.003{col 80}{space 4} -3.88764{col 93}{space 3}-.8035535
{txt}{space 35}37  {c |}{col 40}{res}{space 2}-3.059458{col 52}{space 2} .8524497{col 63}{space 1}   -3.59{col 72}{space 3}0.000{col 80}{space 4}-4.730229{col 93}{space 3}-1.388687
{txt}{space 35}43  {c |}{col 40}{res}{space 2}-2.290567{col 52}{space 2} .7574303{col 63}{space 1}   -3.02{col 72}{space 3}0.002{col 80}{space 4}-3.775103{col 93}{space 3}-.8060314
{txt}{space 35}44  {c |}{col 40}{res}{space 2}-2.251402{col 52}{space 2} .7092799{col 63}{space 1}   -3.17{col 72}{space 3}0.002{col 80}{space 4}-3.641565{col 93}{space 3} -.861239
{txt}{space 35}45  {c |}{col 40}{res}{space 2}-2.259082{col 52}{space 2} .9500952{col 63}{space 1}   -2.38{col 72}{space 3}0.017{col 80}{space 4}-4.121234{col 93}{space 3}-.3969292
{txt}{space 35}49  {c |}{col 40}{res}{space 2}-1.960429{col 52}{space 2} .8765209{col 63}{space 1}   -2.24{col 72}{space 3}0.025{col 80}{space 4}-3.678378{col 93}{space 3}-.2424794
{txt}{space 34}100  {c |}{col 40}{res}{space 2}-.4884056{col 52}{space 2} .6352104{col 63}{space 1}   -0.77{col 72}{space 3}0.442{col 80}{space 4}-1.733395{col 93}{space 3} .7565839
{txt}{space 34}102  {c |}{col 40}{res}{space 2}-2.538724{col 52}{space 2} .7936544{col 63}{space 1}   -3.20{col 72}{space 3}0.001{col 80}{space 4}-4.094258{col 93}{space 3}-.9831896
{txt}{space 34}103  {c |}{col 40}{res}{space 2} -1.00086{col 52}{space 2} .7394167{col 63}{space 1}   -1.35{col 72}{space 3}0.176{col 80}{space 4} -2.45009{col 93}{space 3} .4483707
{txt}{space 34}107  {c |}{col 40}{res}{space 2}-1.509175{col 52}{space 2} .4298236{col 63}{space 1}   -3.51{col 72}{space 3}0.000{col 80}{space 4}-2.351614{col 93}{space 3}-.6667364
{txt}{space 34}108  {c |}{col 40}{res}{space 2}-1.632673{col 52}{space 2} 1.005869{col 63}{space 1}   -1.62{col 72}{space 3}0.105{col 80}{space 4} -3.60414{col 93}{space 3} .3387945
{txt}{space 34}109  {c |}{col 40}{res}{space 2}-.7868923{col 52}{space 2} .8958996{col 63}{space 1}   -0.88{col 72}{space 3}0.380{col 80}{space 4}-2.542823{col 93}{space 3} .9690386
{txt}{space 34}110  {c |}{col 40}{res}{space 2}  -.92211{col 52}{space 2} .5009581{col 63}{space 1}   -1.84{col 72}{space 3}0.066{col 80}{space 4} -1.90397{col 93}{space 3} .0597498
{txt}{space 34}111  {c |}{col 40}{res}{space 2} -.477488{col 52}{space 2} .3769242{col 63}{space 1}   -1.27{col 72}{space 3}0.205{col 80}{space 4}-1.216246{col 93}{space 3} .2612698
{txt}{space 34}112  {c |}{col 40}{res}{space 2}-3.915321{col 52}{space 2} .7057363{col 63}{space 1}   -5.55{col 72}{space 3}0.000{col 80}{space 4}-5.298539{col 93}{space 3}-2.532103
{txt}{space 34}114  {c |}{col 40}{res}{space 2}-1.927332{col 52}{space 2} 1.028675{col 63}{space 1}   -1.87{col 72}{space 3}0.061{col 80}{space 4}-3.943498{col 93}{space 3} .0888344
{txt}{space 34}116  {c |}{col 40}{res}{space 2}-2.094615{col 52}{space 2} .5359216{col 63}{space 1}   -3.91{col 72}{space 3}0.000{col 80}{space 4}-3.145002{col 93}{space 3}-1.044228
{txt}{space 34}119  {c |}{col 40}{res}{space 2}        0{col 52}{txt}  (omitted)
{space 38} {c |}
{space 31}yearfe2 {c |}{col 40}{res}{space 2}-.0270841{col 52}{space 2} .0502986{col 63}{space 1}   -0.54{col 72}{space 3}0.590{col 80}{space 4}-.1256676{col 93}{space 3} .0714994
{txt}{space 31}yearfe3 {c |}{col 40}{res}{space 2}-.2877562{col 52}{space 2} .1551199{col 63}{space 1}   -1.86{col 72}{space 3}0.064{col 80}{space 4}-.5917856{col 93}{space 3} .0162733
{txt}{space 31}yearfe4 {c |}{col 40}{res}{space 2}-.4009983{col 52}{space 2} .1615391{col 63}{space 1}   -2.48{col 72}{space 3}0.013{col 80}{space 4}-.7176091{col 93}{space 3}-.0843874
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{txt}{space 35}91  {c |}{col 40}{res}{space 2}-.1426794{col 52}{space 2} .1223518{col 63}{space 1}   -1.17{col 72}{space 3}0.244{col 80}{space 4}-.3824844{col 93}{space 3} .0971257
{txt}{space 35}92  {c |}{col 40}{res}{space 2}-.1464222{col 52}{space 2} .1263688{col 63}{space 1}   -1.16{col 72}{space 3}0.247{col 80}{space 4}-.3941005{col 93}{space 3} .1012561
{txt}{space 35}93  {c |}{col 40}{res}{space 2}-.1659342{col 52}{space 2} .2904549{col 63}{space 1}   -0.57{col 72}{space 3}0.568{col 80}{space 4}-.7352155{col 93}{space 3}  .403347
{txt}{space 35}94  {c |}{col 40}{res}{space 2}-.5850124{col 52}{space 2} .1484529{col 63}{space 1}   -3.94{col 72}{space 3}0.000{col 80}{space 4}-.8759748{col 93}{space 3}  -.29405
{txt}{space 35}95  {c |}{col 40}{res}{space 2}-.4253239{col 52}{space 2} .1974778{col 63}{space 1}   -2.15{col 72}{space 3}0.031{col 80}{space 4}-.8123732{col 93}{space 3}-.0382746
{txt}{space 35}96  {c |}{col 40}{res}{space 2}-.0760614{col 52}{space 2}  .166885{col 63}{space 1}   -0.46{col 72}{space 3}0.649{col 80}{space 4}-.4031501{col 93}{space 3} .2510273
{txt}{space 35}97  {c |}{col 40}{res}{space 2}-.4509091{col 52}{space 2} .1231561{col 63}{space 1}   -3.66{col 72}{space 3}0.000{col 80}{space 4}-.6922907{col 93}{space 3}-.2095275
{txt}{space 35}98  {c |}{col 40}{res}{space 2} .4300045{col 52}{space 2} .3040574{col 63}{space 1}    1.41{col 72}{space 3}0.157{col 80}{space 4}-.1659371{col 93}{space 3} 1.025946
{txt}{space 35}99  {c |}{col 40}{res}{space 2}-.1301965{col 52}{space 2} .3842724{col 63}{space 1}   -0.34{col 72}{space 3}0.735{col 80}{space 4}-.8833567{col 93}{space 3} .6229636
{txt}{space 34}100  {c |}{col 40}{res}{space 2} .5610812{col 52}{space 2} .2108529{col 63}{space 1}    2.66{col 72}{space 3}0.008{col 80}{space 4}  .147817{col 93}{space 3} .9743454
{txt}{space 34}101  {c |}{col 40}{res}{space 2} .3008033{col 52}{space 2} .0912362{col 63}{space 1}    3.30{col 72}{space 3}0.001{col 80}{space 4} .1219836{col 93}{space 3}  .479623
{txt}{space 34}102  {c |}{col 40}{res}{space 2}        0{col 52}{txt}  (omitted)
{space 38} {c |}
{space 33}_cons {c |}{col 40}{res}{space 2}-1.030584{col 52}{space 2} .8408708{col 63}{space 1}   -1.23{col 72}{space 3}0.220{col 80}{space 4}-2.678661{col 93}{space 3} .6174923
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *
. estat ic

{txt}Akaike's information criterion and Bayesian information criterion

{hline 13}{c TT}{hline 63}
       Model {c |}          N   ll(null)  ll(model)      df        AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16} 1,094,254{col 28}-740752.9{col 39}-641408.7{col 50}    40{col 58}  1282897{col 69}  1283374
{txt}{hline 13}{c BT}{hline 63}
{p 0 6 0 77}Note: BIC uses N = number of observations. See {helpb bic_note:{bind:[R] BIC note}}.{p_end}

{com}. *
. 
. 
. *** FIGURES 2 & 3 ***
. 
. 
. *** 1.1 PRESIDENTIAL ALIGNED AGENCIES: EVALUATED AT 10TH PCTILE [LOW POLITICIZATION] & 90TH PCTILE [HIGH POLITICIZATION] VALUES OF WITHINAGENCY_PACKING ///
> ***     [N = 202,829] ***
. 
. * Compute within-agency & overall distribution of agency_packing 'moderator' covariate *
. egen meanagency_packing = mean(agency_packing), by(agency)
{txt}(849 missing values generated)

{com}. gen withinagency_packing = agency_packing - meanagency_packing
{txt}(12,498 missing values generated)

{com}. *
. *
. sum withinagency_packing if e(sample) & pol_align==1, detail

                    {txt}withinagency_packing
{hline 61}
      Percentiles      Smallest
 1%    {res}-.0641362       -.320994
{txt} 5%    {res}-.0641362       -.273434
{txt}10%    {res}-.0641362      -.1916324       {txt}Obs         {res}    202,829
{txt}25%    {res}-.0020672      -.1788643       {txt}Sum of Wgt. {res}    202,829

{txt}50%    {res}-.0000131                      {txt}Mean          {res}-.0006504
                        {txt}Largest       Std. Dev.     {res} .0354254
{txt}75%    {res} .0002127       .4490712
{txt}90%    {res}  .014702       .4490712       {txt}Variance      {res}  .001255
{txt}95%    {res}  .014702       .4490712       {txt}Skewness      {res}  2.11239
{txt}99%    {res} .1597132       .4490712       {txt}Kurtosis      {res} 14.00396
{txt}
{com}. *
. sum agency_packing if e(sample) & pol_align==1, detail

                   {txt}(first) agency_packing
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}    202,829
{txt}25%    {res}  .062069              0       {txt}Sum of Wgt. {res}    202,829

{txt}50%    {res} .1322506                      {txt}Mean          {res} .1701639
                        {txt}Largest       Std. Dev.     {res} .1873102
{txt}75%    {res} .1915709              2
{txt}90%    {res} .4851852              2       {txt}Variance      {res} .0350851
{txt}95%    {res} .4851852              2       {txt}Skewness      {res} 3.637102
{txt}99%    {res}      .75              2       {txt}Kurtosis      {res} 26.71759
{txt}
{com}. *
. * 
. ** Compute Marginal Effects at Three Distinct Values of Within-Agency Distribution of agency_packing 'moderator': ///
> ** 10th Percentile (LOW)  & 90TH Percentile [HIGH]
. 
. * IDEOLOGICALLY ALIGNED AGENCIES: LOW APPOINTEE POLITICIZATION -- COMPARING NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [1 & 2] * 
. margins ,  at(agency_packing = (-0.0641362)) over(execlevel) subpop(if pol_align==1) 
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res} 1,094,254
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    202,829

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m11), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}execlevel {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .4391724{col 26}{space 2} .0365887{col 37}{space 1}   12.00{col 46}{space 3}0.000{col 54}{space 4}   .36746{col 67}{space 3} .5108849
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .3088848{col 26}{space 2} .0454936{col 37}{space 1}    6.79{col 46}{space 3}0.000{col 54}{space 4}  .219719{col 67}{space 3} .3980506
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins ,  at(agency_packing = (-0.0641362)) over(execlevel) subpop(if pol_align==1)  level(90)
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res} 1,094,254
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    202,829

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m11), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [90% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}execlevel {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .4391724{col 26}{space 2} .0365887{col 37}{space 1}   12.00{col 46}{space 3}0.000{col 54}{space 4} .3789894{col 67}{space 3} .4993554
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .3088848{col 26}{space 2} .0454936{col 37}{space 1}    6.79{col 46}{space 3}0.000{col 54}{space 4} .2340545{col 67}{space 3} .3837151
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *
. * IDEOLOGICALLY ALIGNED AGENCIES: LOW APPOINTEE POLITICIZATION -- PREDICTED PROBABILITY DIFFERENCE BETWEEN NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [3]* 
. margins ,  at(agency_packing = (-0.0641362)) over(execlevel) subpop(if pol_align==1) pwcompare
{res}
{txt}Pairwise comparisons of predictive margins{col 49}Number of obs{col 67}= {res} 1,094,254
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    202,829

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m11), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26} Delta-method{col 37}         Una{col 51}djusted
{col 14}{c |}   Contrast{col 26}   Std. Err.{col 38}     [95% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 3}execlevel {c |}
{space 5}1 vs 0  {c |}{col 14}{res}{space 2}-.1302876{col 26}{space 2} .0199269{col 37}{space 5}-.1693437{col 51}{space 3}-.0912315
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. margins ,  at(agency_packing = (-0.0641362)) over(execlevel) subpop(if pol_align==1) pwcompare level(90)
{res}
{txt}Pairwise comparisons of predictive margins{col 49}Number of obs{col 67}= {res} 1,094,254
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    202,829

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m11), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26} Delta-method{col 37}         Una{col 51}djusted
{col 14}{c |}   Contrast{col 26}   Std. Err.{col 38}     [90% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 3}execlevel {c |}
{space 5}1 vs 0  {c |}{col 14}{res}{space 2}-.1302876{col 26}{space 2} .0199269{col 37}{space 5}-.1630645{col 51}{space 3}-.0975107
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. *
. *
. *
. * IDEOLOGICALLY ALIGNED AGENCIES: HIGH APPOINTEE POLITICIZATION -- COMPARING NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [4 & 5] * 
. margins ,  at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_align==1) 
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res} 1,094,254
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    202,829

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m11), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}execlevel {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .4062183{col 26}{space 2} .0188687{col 37}{space 1}   21.53{col 46}{space 3}0.000{col 54}{space 4} .3692363{col 67}{space 3} .4432004
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .2952601{col 26}{space 2} .0342412{col 37}{space 1}    8.62{col 46}{space 3}0.000{col 54}{space 4} .2281485{col 67}{space 3} .3623717
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins ,  at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_align==1) 
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res} 1,094,254
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    202,829

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m11), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}execlevel {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .4062183{col 26}{space 2} .0188687{col 37}{space 1}   21.53{col 46}{space 3}0.000{col 54}{space 4} .3692363{col 67}{space 3} .4432004
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .2952601{col 26}{space 2} .0342412{col 37}{space 1}    8.62{col 46}{space 3}0.000{col 54}{space 4} .2281485{col 67}{space 3} .3623717
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *
. * IDEOLOGICALLY ALIGNED AGENCIES: HIGH APPOINTEE POLITICIZATION -- PREDICTED PROBABILITY DIFFERENCE BETWEEN NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [6] * 
. margins ,  at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_align==1) pwcompare
{res}
{txt}Pairwise comparisons of predictive margins{col 49}Number of obs{col 67}= {res} 1,094,254
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    202,829

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m11), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26} Delta-method{col 37}         Una{col 51}djusted
{col 14}{c |}   Contrast{col 26}   Std. Err.{col 38}     [95% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 3}execlevel {c |}
{space 5}1 vs 0  {c |}{col 14}{res}{space 2}-.1109583{col 26}{space 2} .0195012{col 37}{space 5}-.1491799{col 51}{space 3}-.0727366
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. margins ,  at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_align==1) pwcompare level(90)
{res}
{txt}Pairwise comparisons of predictive margins{col 49}Number of obs{col 67}= {res} 1,094,254
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    202,829

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m11), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26} Delta-method{col 37}         Una{col 51}djusted
{col 14}{c |}   Contrast{col 26}   Std. Err.{col 38}     [90% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 3}execlevel {c |}
{space 5}1 vs 0  {c |}{col 14}{res}{space 2}-.1109583{col 26}{space 2} .0195012{col 37}{space 5}-.1430348{col 51}{space 3}-.0788817
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. *
. *
. *
. * IDEOLOGICALLY ALIGNED AGENCIES: PREDICTED PROBABILITY DIFFERENCE BETWEEN HIGH & LOW APPOINTEE POLITICIZATION FOR BOTH NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [7 & 8] * 
. margins ,  at(agency_packing = (-0.0641362)) at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_align==1) contrast(atcontrast(r._at))
{res}
{txt}Contrasts of predictive margins{col 49}Number of obs{col 67}= {res} 1,094,254
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    202,829

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m11), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}

{res}{col 1}{text}{hline 14}{c TT}{hline 11}{hline 12}{hline 11}
{col 15}{text}{c |}         df{col 27}        chi2{col 39}     P>chi2
{res}{col 1}{text}{hline 14}{c +}{hline 11}{hline 12}{hline 11}
_at@execlevel {c |}
{space 2}(2 vs 1) 0  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     3.40{col 39}{space 2}   0.0653
{txt}{space 2}(2 vs 1) 1  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.37{col 39}{space 2}   0.2425
{col 1}{text}       Joint {col 15}{c |}{result}{space 2}        2{col 27}{space 3}     6.57{col 39}{space 2}   0.0374
{col 1}{text}{hline 14}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 15}{c |}{col 27} Delta-method
{col 15}{c |}   Contrast{col 27}   Std. Err.{col 39}     [95% Con{col 52}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
_at@execlevel {c |}
{space 2}(2 vs 1) 0  {c |}{col 15}{res}{space 2}-.0329541{col 27}{space 2}  .017879{col 38}{space 5}-.0679962{col 52}{space 3}  .002088
{txt}{space 2}(2 vs 1) 1  {c |}{col 15}{res}{space 2}-.0136248{col 27}{space 2} .0116577{col 38}{space 5}-.0364735{col 52}{space 3}  .009224
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. margins ,  at(agency_packing = (-0.0641362)) at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_align==1) contrast(atcontrast(r._at)) level(90)
{res}
{txt}Contrasts of predictive margins{col 49}Number of obs{col 67}= {res} 1,094,254
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    202,829

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m11), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}

{res}{col 1}{text}{hline 14}{c TT}{hline 11}{hline 12}{hline 11}
{col 15}{text}{c |}         df{col 27}        chi2{col 39}     P>chi2
{res}{col 1}{text}{hline 14}{c +}{hline 11}{hline 12}{hline 11}
_at@execlevel {c |}
{space 2}(2 vs 1) 0  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     3.40{col 39}{space 2}   0.0653
{txt}{space 2}(2 vs 1) 1  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.37{col 39}{space 2}   0.2425
{col 1}{text}       Joint {col 15}{c |}{result}{space 2}        2{col 27}{space 3}     6.57{col 39}{space 2}   0.0374
{col 1}{text}{hline 14}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 15}{c |}{col 27} Delta-method
{col 15}{c |}   Contrast{col 27}   Std. Err.{col 39}     [90% Con{col 52}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
_at@execlevel {c |}
{space 2}(2 vs 1) 0  {c |}{col 15}{res}{space 2}-.0329541{col 27}{space 2}  .017879{col 38}{space 5}-.0623624{col 52}{space 3}-.0035458
{txt}{space 2}(2 vs 1) 1  {c |}{col 15}{res}{space 2}-.0136248{col 27}{space 2} .0116577{col 38}{space 5}   -.0328{col 52}{space 3} .0055505
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. *
. 
. 
. 
. ********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. ********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
.  
.   
. 
. *** 1.2 PRESIDENTIAL OPPOSED AGENCIES: EVALUATED AT 10TH PCTILE [LOW POLITICIZATION] & AND 90TH PCTILE [HIGH POLITICIZATION] VALUES OF WITHINAGENCY_PACKING ///
> ***     [N = 502,976] 
. 
. * Compute within-agency & overall distribution of agency_packing 'moderator' covariate *
. sum withinagency_packing if e(sample) & pol_opposed==1, detail

                    {txt}withinagency_packing
{hline 61}
      Percentiles      Smallest
 1%    {res}-.0641362      -1.786192
{txt} 5%    {res}-.0641362      -1.145625
{txt}10%    {res}-.0641362      -.4061343       {txt}Obs         {res}    502,976
{txt}25%    {res}-.0077981       -.177226       {txt}Sum of Wgt. {res}    502,976

{txt}50%    {res}-.0000215                      {txt}Mean          {res} .0031832
                        {txt}Largest       Std. Dev.     {res}  .057605
{txt}75%    {res}  .014702       .2104578
{txt}90%    {res}  .014702       .3527859       {txt}Variance      {res} .0033183
{txt}95%    {res} .1597132       1.010458       {txt}Skewness      {res} 1.507805
{txt}99%    {res} .1597132       1.010458       {txt}Kurtosis      {res} 8.094134
{txt}
{com}. sum agency_packing if e(sample) & pol_opposed==1, detail

                   {txt}(first) agency_packing
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}    502,976
{txt}25%    {res}  .056338              0       {txt}Sum of Wgt. {res}    502,976

{txt}50%    {res} .0788382                      {txt}Mean          {res}  .144348
                        {txt}Largest       Std. Dev.     {res} .1491679
{txt}75%    {res} .2238494              2
{txt}90%    {res} .3428571              2       {txt}Variance      {res} .0222511
{txt}95%    {res} .4851852              2       {txt}Skewness      {res} 1.692761
{txt}99%    {res} .4851852              2       {txt}Kurtosis      {res}  9.35793
{txt}
{com}. *
.  
. ** Compute Marginal Effects at Three Distinct Values of Within-Agency Distribution of agency_packing 'moderator': ///
> ** 10th Percentile (LOW) & 90TH Percentile [HIGH]
. 
. 
. * IDEOLOGICALLY OPPOSED AGENCIES: LOW APPOINTEE POLITICIZATION -- COMPARING NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [9 & 10] * 
. margins ,  at(agency_packing = (-0.0641362)) over(execlevel) subpop(if pol_opposed==1) 
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res} 1,094,254
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    502,976

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m11), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}execlevel {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .4373565{col 26}{space 2} .0286124{col 37}{space 1}   15.29{col 46}{space 3}0.000{col 54}{space 4} .3812773{col 67}{space 3} .4934356
{txt}{space 10}1  {c |}{col 14}{res}{space 2}   .38054{col 26}{space 2}    .0401{col 37}{space 1}    9.49{col 46}{space 3}0.000{col 54}{space 4} .3019455{col 67}{space 3} .4591345
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins ,  at(agency_packing = (-0.0641362)) over(execlevel) subpop(if pol_opposed==1) level(90)
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res} 1,094,254
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    502,976

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m11), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [90% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}execlevel {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .4373565{col 26}{space 2} .0286124{col 37}{space 1}   15.29{col 46}{space 3}0.000{col 54}{space 4} .3902933{col 67}{space 3} .4844196
{txt}{space 10}1  {c |}{col 14}{res}{space 2}   .38054{col 26}{space 2}    .0401{col 37}{space 1}    9.49{col 46}{space 3}0.000{col 54}{space 4} .3145814{col 67}{space 3} .4464986
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *
. * IDEOLOGICALLY OPPOSED AGENCIES: LOW APPOINTEE POLITICIZATION -- PREDICTED PROBABILITY DIFFERENCE BETWEEN NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [11] * 
. margins ,  at(agency_packing = (-0.0641362)) over(execlevel) subpop(if pol_opposed==1) pwcompare
{res}
{txt}Pairwise comparisons of predictive margins{col 49}Number of obs{col 67}= {res} 1,094,254
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    502,976

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m11), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26} Delta-method{col 37}         Una{col 51}djusted
{col 14}{c |}   Contrast{col 26}   Std. Err.{col 38}     [95% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 3}execlevel {c |}
{space 5}1 vs 0  {c |}{col 14}{res}{space 2}-.0568164{col 26}{space 2} .0268472{col 37}{space 5} -.109436{col 51}{space 3}-.0041968
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. margins ,  at(agency_packing = (-0.0641362)) over(execlevel) subpop(if pol_opposed==1) pwcompare level(90)
{res}
{txt}Pairwise comparisons of predictive margins{col 49}Number of obs{col 67}= {res} 1,094,254
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    502,976

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m11), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26} Delta-method{col 37}         Una{col 51}djusted
{col 14}{c |}   Contrast{col 26}   Std. Err.{col 38}     [90% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 3}execlevel {c |}
{space 5}1 vs 0  {c |}{col 14}{res}{space 2}-.0568164{col 26}{space 2} .0268472{col 37}{space 5}-.1009762{col 51}{space 3}-.0126567
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. *
. *
. *
. * IDEOLOGICALLY OPPOSED AGENCIES: HIGH APPOINTEE POLITICIZATION -- COMPARING NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [12 & 13] * 
. margins ,  at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_opposed==1) 
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res} 1,094,254
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    502,976

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m11), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}execlevel {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .4483768{col 26}{space 2} .0163898{col 37}{space 1}   27.36{col 46}{space 3}0.000{col 54}{space 4} .4162533{col 67}{space 3} .4805003
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .3694498{col 26}{space 2} .0306956{col 37}{space 1}   12.04{col 46}{space 3}0.000{col 54}{space 4} .3092875{col 67}{space 3} .4296121
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins ,  at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_opposed==1) level(90)
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res} 1,094,254
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    502,976

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m11), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [90% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}execlevel {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .4483768{col 26}{space 2} .0163898{col 37}{space 1}   27.36{col 46}{space 3}0.000{col 54}{space 4} .4214179{col 67}{space 3} .4753357
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .3694498{col 26}{space 2} .0306956{col 37}{space 1}   12.04{col 46}{space 3}0.000{col 54}{space 4}   .31896{col 67}{space 3} .4199396
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *
. * IDEOLOGICALLY OPPOSED AGENCIES: HIGH APPOINTEE POLITICIZATION -- PREDICTED PROBABILITY DIFFERENCE BETWEEN NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [14] * 
. margins ,  at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_opposed==1) pwcompare
{res}
{txt}Pairwise comparisons of predictive margins{col 49}Number of obs{col 67}= {res} 1,094,254
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    502,976

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m11), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26} Delta-method{col 37}         Una{col 51}djusted
{col 14}{c |}   Contrast{col 26}   Std. Err.{col 38}     [95% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 3}execlevel {c |}
{space 5}1 vs 0  {c |}{col 14}{res}{space 2} -.078927{col 26}{space 2} .0210379{col 37}{space 5}-.1201606{col 51}{space 3}-.0376933
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. margins ,  at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_opposed==1) pwcompare level(90)
{res}
{txt}Pairwise comparisons of predictive margins{col 49}Number of obs{col 67}= {res} 1,094,254
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    502,976

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m11), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26} Delta-method{col 37}         Una{col 51}djusted
{col 14}{c |}   Contrast{col 26}   Std. Err.{col 38}     [90% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 3}execlevel {c |}
{space 5}1 vs 0  {c |}{col 14}{res}{space 2} -.078927{col 26}{space 2} .0210379{col 37}{space 5}-.1135313{col 51}{space 3}-.0443226
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. *
. *
. *
. * IDEOLOGICALLY OPPOSED AGENCIES: PREDICTED PROBABILITY DIFFERENCE BETWEEN HIGH & LOW APPOINTEE POLITICIZATION FOR BOTH NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [15 & 16] * 
. margins ,  at(agency_packing = (-0.0641362)) at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_opposed==1) contrast(atcontrast(r._at))
{res}
{txt}Contrasts of predictive margins{col 49}Number of obs{col 67}= {res} 1,094,254
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    502,976

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m11), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}

{res}{col 1}{text}{hline 14}{c TT}{hline 11}{hline 12}{hline 11}
{col 15}{text}{c |}         df{col 27}        chi2{col 39}     P>chi2
{res}{col 1}{text}{hline 14}{c +}{hline 11}{hline 12}{hline 11}
_at@execlevel {c |}
{space 2}(2 vs 1) 0  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.80{col 39}{space 2}   0.3705
{txt}{space 2}(2 vs 1) 1  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.38{col 39}{space 2}   0.2408
{col 1}{text}       Joint {col 15}{c |}{result}{space 2}        2{col 27}{space 3}     7.41{col 39}{space 2}   0.0246
{col 1}{text}{hline 14}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 15}{c |}{col 27} Delta-method
{col 15}{c |}   Contrast{col 27}   Std. Err.{col 39}     [95% Con{col 52}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
_at@execlevel {c |}
{space 2}(2 vs 1) 0  {c |}{col 15}{res}{space 2} .0110203{col 27}{space 2} .0123068{col 38}{space 5}-.0131005{col 52}{space 3} .0351411
{txt}{space 2}(2 vs 1) 1  {c |}{col 15}{res}{space 2}-.0110902{col 27}{space 2} .0094555{col 38}{space 5}-.0296226{col 52}{space 3} .0074423
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. margins ,  at(agency_packing = (-0.0641362)) at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_opposed==1) contrast(atcontrast(r._at)) level(90)
{res}
{txt}Contrasts of predictive margins{col 49}Number of obs{col 67}= {res} 1,094,254
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    502,976

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m11), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}

{res}{col 1}{text}{hline 14}{c TT}{hline 11}{hline 12}{hline 11}
{col 15}{text}{c |}         df{col 27}        chi2{col 39}     P>chi2
{res}{col 1}{text}{hline 14}{c +}{hline 11}{hline 12}{hline 11}
_at@execlevel {c |}
{space 2}(2 vs 1) 0  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.80{col 39}{space 2}   0.3705
{txt}{space 2}(2 vs 1) 1  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.38{col 39}{space 2}   0.2408
{col 1}{text}       Joint {col 15}{c |}{result}{space 2}        2{col 27}{space 3}     7.41{col 39}{space 2}   0.0246
{col 1}{text}{hline 14}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 15}{c |}{col 27} Delta-method
{col 15}{c |}   Contrast{col 27}   Std. Err.{col 39}     [90% Con{col 52}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
_at@execlevel {c |}
{space 2}(2 vs 1) 0  {c |}{col 15}{res}{space 2} .0110203{col 27}{space 2} .0123068{col 38}{space 5}-.0092225{col 52}{space 3} .0312631
{txt}{space 2}(2 vs 1) 1  {c |}{col 15}{res}{space 2}-.0110902{col 27}{space 2} .0094555{col 38}{space 5}-.0266431{col 52}{space 3} .0044627
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. *
. 
. * FIGURE 2A [IDEOLOGICALLY ALIGNED AGENCIES] -- PLACEMENT OF ESTIMATES: 1  2  3      4  5  6     7  8
. * FIGURE 2B [IDEOLOGICALLY OPPOSED AGENCIES] -- PLACEMENT OF ESTIMATES: 9 10 11     12 13 14    15 16
. 
. *** FOR FIGURES 3A & 3B -- CONVERT ESTIMATES 3, 6, 7, & 8 [IDEOLOGICALLY ALIGNED]  PLUS 11, 14, 15 & 16 [IDEOLOGICALLY OPPOSED] IN TERMS OF THE FOLLOWING: (A) PREDICTED NUMBER OF CONTRACTS AFFECTED AMONG LOW RISK CONTRACTS IN
. *                          SAMPLE, (B) PREDICTED TOTAL MONETARY VALUE AFFECTED AMONG LOW RISK CONTRACTS IN SAMPLE, & (C) PREDICTED PROPORTION OF MONETARY VALUE AFFECTED AMONG LOW RISK CONTRACTS IN SAMPLE  
. 
. * FIGURE 3A [IDEOLOGICALLY ALIGNED AGENCIES] -- PLACEMENT OF ESTIMATES:  3(A-C)    6(A-C)          7(A-C)    8(A-C)
. * FIGURE 3B [IDEOLOGICALLY OPPOSED AGENCIES] -- PLACEMENT OF ESTIMATES: 11(A-C)   14(A-C)         15(A-C)   16(A-C) 
. 
. 
. *** A: PREDICTED NUMBER OF CONTRACTS AFFECTED: This is computed as marginal probability effect × number of multiple bid and fixed cost procurements in the regression sample, conditional on both a given president-agency ideological configuration [ALIGN/NEUTRAL/OPPOSED] and organizational level for procurement agreements [EXECUTIVE LEVEL/NON-EXECUTIVE LEVEL].
. 
. *
. *
. 
. *** B: PREDICTED CONSTANT DOLLAR VALUE IMPACT: Predicated by Predicted Number of Multiple Bid and Fixed Cost Contracts Affected Relative to the total 2009 constant dollar value of these subset of observations in the regression sample [E.G., ALIGNED | EXECUTIVE LEVEL;  ALIGNED | NON-EXECUTIVE LEVEL; ETC....].
. 
. *
. *
. 
. *** C: PREDICTED PROPORTIONAL CONSTANT DOLLAR VALUE IMPACT [i.e., B] RELATIVE TO SUM/TOTAL OF ALL SAMPLE CONTRACTS OF LOW GOVERNMENT RISK: 
. 
. 
. **************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. *** HIGH RISK CONTRACTUAL DESIGNS FROM U.S. FEDERAL GOVERNMENT'S PERSPECTIVE AS A "BUYER" ***
. 
. 
. 
. 
. ** 2.  FULLY BENEFICIAL TERMS FOR SELLER/CONTRACTOR: [N = 1,095,646] **
. **     SINGLE BIDS [CLOSED PROCESS] & VARIABLE COST CONTRACTS [COST PLUS, TIME & MATERIALS, & LABOR] **
. 
. probit m00closed c.agency_packing##execlevel##pol_align  c.agency_packing##execlevel##pol_opposed  perc_prof  selin1_abszero  selin2_abszero unified lnannualrevenue_adj house_app house_ways house_majority  close_congelect_dist   dod dc_area goods_services lnvendorsum_adj lndollarsobligated_adj   pres_donor_pac lnpres_donor_pac_amount_adj i.agency yearfe2 yearfe3 yearfe4 yearfe5 yearfe6 yearfe7 yearfe8 yearfe9 yearfe10 yearfe11 yearfe12 yearfe13 yearfe14 yearfe15 yearfe16  i.psc_id , vce(cluster agency)

{txt}note: 100.agency != 0 predicts failure perfectly
      100.agency dropped and 25 obs not used

note: 108.agency != 0 predicts failure perfectly
      108.agency dropped and 12 obs not used

note: 111.agency != 0 predicts failure perfectly
      111.agency dropped and 29 obs not used

note: 116.agency != 0 predicts failure perfectly
      116.agency dropped and 5 obs not used

note: 12.psc_id != 0 predicts failure perfectly
      12.psc_id dropped and 111 obs not used

note: 16.psc_id != 0 predicts failure perfectly
      16.psc_id dropped and 591 obs not used

note: 21.psc_id != 0 predicts failure perfectly
      21.psc_id dropped and 41 obs not used

note: 25.psc_id != 0 predicts failure perfectly
      25.psc_id dropped and 286 obs not used

note: 39.psc_id != 0 predicts failure perfectly
      39.psc_id dropped and 232 obs not used

note: 42.psc_id != 0 predicts failure perfectly
      42.psc_id dropped and 910 obs not used

note: 62.psc_id != 0 predicts failure perfectly
      62.psc_id dropped and 239 obs not used

note: 70.psc_id != 0 predicts failure perfectly
      70.psc_id dropped and 703 obs not used

note: agency_packing omitted because of collinearity
note: 3.agency omitted because of collinearity
note: 119.agency omitted because of collinearity
note: yearfe10 omitted because of collinearity
note: 102.psc_id omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-174225.89}  
Iteration 1:{space 3}log pseudolikelihood = {res:-134018.33}  
Iteration 2:{space 3}log pseudolikelihood = {res:-128780.62}  
Iteration 3:{space 3}log pseudolikelihood = {res:-128586.62}  
Iteration 4:{space 3}log pseudolikelihood = {res:-128577.66}  
Iteration 5:{space 3}log pseudolikelihood = {res: -128577.5}  
Iteration 6:{space 3}log pseudolikelihood = {res: -128577.5}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res} 1,091,070
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(34)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res} -128577.5{txt}{col 49}Pseudo R2{col 67}= {res}    0.2620

{txt}{ralign 104:(Std. Err. adjusted for {res:36} clusters in agency)}
{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 40}{c |}{col 52}    Robust
{col 1}                             m00closed{col 40}{c |}      Coef.{col 52}   Std. Err.{col 64}      z{col 72}   P>|z|{col 80}     [95% Con{col 93}f. Interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}agency_packing {c |}{col 40}{res}{space 2} 2.436959{col 52}{space 2} .6861516{col 63}{space 1}    3.55{col 72}{space 3}0.000{col 80}{space 4} 1.092126{col 93}{space 3} 3.781791
{txt}{space 27}1.execlevel {c |}{col 40}{res}{space 2} .2288111{col 52}{space 2} .0573396{col 63}{space 1}    3.99{col 72}{space 3}0.000{col 80}{space 4} .1164275{col 93}{space 3} .3411947
{txt}{space 38} {c |}
{space 12}execlevel#c.agency_packing {c |}
{space 36}1  {c |}{col 40}{res}{space 2}-.0348655{col 52}{space 2}  .100568{col 63}{space 1}   -0.35{col 72}{space 3}0.729{col 80}{space 4}-.2319752{col 93}{space 3} .1622442
{txt}{space 38} {c |}
{space 27}1.pol_align {c |}{col 40}{res}{space 2} 3.198191{col 52}{space 2} 1.333279{col 63}{space 1}    2.40{col 72}{space 3}0.016{col 80}{space 4} .5850129{col 93}{space 3} 5.811369
{txt}{space 38} {c |}
{space 12}pol_align#c.agency_packing {c |}
{space 36}1  {c |}{col 40}{res}{space 2}-2.140593{col 52}{space 2}  .731563{col 63}{space 1}   -2.93{col 72}{space 3}0.003{col 80}{space 4} -3.57443{col 93}{space 3} -.706756
{txt}{space 38} {c |}
{space 19}execlevel#pol_align {c |}
{space 34}1 1  {c |}{col 40}{res}{space 2}-.0638083{col 52}{space 2} .1509054{col 63}{space 1}   -0.42{col 72}{space 3}0.672{col 80}{space 4}-.3595774{col 93}{space 3} .2319608
{txt}{space 38} {c |}
{space 2}execlevel#pol_align#c.agency_packing {c |}
{space 34}1 1  {c |}{col 40}{res}{space 2}-.1550609{col 52}{space 2} .6890203{col 63}{space 1}   -0.23{col 72}{space 3}0.822{col 80}{space 4}-1.505516{col 93}{space 3} 1.195394
{txt}{space 38} {c |}
{space 24}agency_packing {c |}{col 40}{res}{space 2}        0{col 52}{txt}  (omitted)
{space 25}1.pol_opposed {c |}{col 40}{res}{space 2} 3.659807{col 52}{space 2} 1.341843{col 63}{space 1}    2.73{col 72}{space 3}0.006{col 80}{space 4} 1.029844{col 93}{space 3} 6.289771
{txt}{space 38} {c |}
{space 10}pol_opposed#c.agency_packing {c |}
{space 36}1  {c |}{col 40}{res}{space 2} -3.31866{col 52}{space 2} .7563525{col 63}{space 1}   -4.39{col 72}{space 3}0.000{col 80}{space 4}-4.801084{col 93}{space 3}-1.836237
{txt}{space 38} {c |}
{space 17}execlevel#pol_opposed {c |}
{space 34}1 1  {c |}{col 40}{res}{space 2}-.3274677{col 52}{space 2} .1432949{col 63}{space 1}   -2.29{col 72}{space 3}0.022{col 80}{space 4}-.6083205{col 93}{space 3}-.0466148
{txt}{space 38} {c |}
execlevel#pol_opposed#c.agency_packing {c |}
{space 34}1 1  {c |}{col 40}{res}{space 2} .7740695{col 52}{space 2} .3764172{col 63}{space 1}    2.06{col 72}{space 3}0.040{col 80}{space 4} .0363054{col 93}{space 3} 1.511834
{txt}{space 38} {c |}
{space 29}perc_prof {c |}{col 40}{res}{space 2}-.0744878{col 52}{space 2} .6539516{col 63}{space 1}   -0.11{col 72}{space 3}0.909{col 80}{space 4}-1.356209{col 93}{space 3} 1.207234
{txt}{space 24}selin1_abszero {c |}{col 40}{res}{space 2}-1.269597{col 52}{space 2} .7008138{col 63}{space 1}   -1.81{col 72}{space 3}0.070{col 80}{space 4}-2.643167{col 93}{space 3} .1039726
{txt}{space 24}selin2_abszero {c |}{col 40}{res}{space 2} .0498803{col 52}{space 2} .1810225{col 63}{space 1}    0.28{col 72}{space 3}0.783{col 80}{space 4}-.3049173{col 93}{space 3} .4046778
{txt}{space 31}unified {c |}{col 40}{res}{space 2}-.5590704{col 52}{space 2} .2267989{col 63}{space 1}   -2.47{col 72}{space 3}0.014{col 80}{space 4}-1.003588{col 93}{space 3}-.1145528
{txt}{space 19}lnannualrevenue_adj {c |}{col 40}{res}{space 2}-.0030494{col 52}{space 2} .0017295{col 63}{space 1}   -1.76{col 72}{space 3}0.078{col 80}{space 4}-.0064392{col 93}{space 3} .0003404
{txt}{space 29}house_app {c |}{col 40}{res}{space 2}-.0437501{col 52}{space 2} .0335346{col 63}{space 1}   -1.30{col 72}{space 3}0.192{col 80}{space 4}-.1094768{col 93}{space 3} .0219765
{txt}{space 28}house_ways {c |}{col 40}{res}{space 2} .0797053{col 52}{space 2} .1168699{col 63}{space 1}    0.68{col 72}{space 3}0.495{col 80}{space 4}-.1493555{col 93}{space 3} .3087661
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{txt}{space 34}102  {c |}{col 40}{res}{space 2}        0{col 52}{txt}  (omitted)
{space 38} {c |}
{space 33}_cons {c |}{col 40}{res}{space 2}-5.080097{col 52}{space 2} .7494081{col 63}{space 1}   -6.78{col 72}{space 3}0.000{col 80}{space 4} -6.54891{col 93}{space 3}-3.611284
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *
. estat ic

{txt}Akaike's information criterion and Bayesian information criterion

{hline 13}{c TT}{hline 63}
       Model {c |}          N   ll(null)  ll(model)      df        AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16} 1,091,070{col 28}-174225.9{col 39}-128577.5{col 50}    35{col 58}   257225{col 69} 257641.6
{txt}{hline 13}{c BT}{hline 63}
{p 0 6 0 77}Note: BIC uses N = number of observations. See {helpb bic_note:{bind:[R] BIC note}}.{p_end}

{com}. *
. *
. *
. 
. *** FIGURES 4 & 5 ***
. 
. 
. *** 2.1 PRESIDENTIAL ALIGNED AGENCIES: EVALUATED AT 10TH PCTILE [LOW POLITICIZATION] & 90TH PCTILE [HIGH POLITICIZATION] VALUES OF WITHINAGENCY_PACKING ///
> ***    [N = 202,129] ***
. 
. * IDEOLOGICALLY ALIGNED AGENCIES: LOW APPOINTEE POLITICIZATION -- COMPARING NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [1 & 2] * 
. margins ,  at(agency_packing = (-0.0641362)) over(execlevel) subpop(if pol_align==1) 
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res} 1,091,070
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    202,129

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m00closed), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}execlevel {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .0379494{col 26}{space 2} .0046987{col 37}{space 1}    8.08{col 46}{space 3}0.000{col 54}{space 4} .0287401{col 67}{space 3} .0471587
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .0916674{col 26}{space 2} .0218723{col 37}{space 1}    4.19{col 46}{space 3}0.000{col 54}{space 4} .0487986{col 67}{space 3} .1345363
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins ,  at(agency_packing = (-0.0641362)) over(execlevel) subpop(if pol_align==1) level(90)
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res} 1,091,070
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    202,129

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m00closed), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [90% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}execlevel {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .0379494{col 26}{space 2} .0046987{col 37}{space 1}    8.08{col 46}{space 3}0.000{col 54}{space 4} .0302207{col 67}{space 3} .0456781
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .0916674{col 26}{space 2} .0218723{col 37}{space 1}    4.19{col 46}{space 3}0.000{col 54}{space 4} .0556907{col 67}{space 3} .1276441
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *
. * IDEOLOGICALLY ALIGNED AGENCIES: LOW APPOINTEE POLITICIZATION -- PREDICTED PROBABILITY DIFFERENCE BETWEEN NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [3]* 
. margins ,  at(agency_packing = (-0.0641362)) over(execlevel) subpop(if pol_align==1) pwcompare
{res}
{txt}Pairwise comparisons of predictive margins{col 49}Number of obs{col 67}= {res} 1,091,070
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    202,129

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m00closed), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26} Delta-method{col 37}         Una{col 51}djusted
{col 14}{c |}   Contrast{col 26}   Std. Err.{col 38}     [95% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 3}execlevel {c |}
{space 5}1 vs 0  {c |}{col 14}{res}{space 2}  .053718{col 26}{space 2} .0227288{col 37}{space 5} .0091704{col 51}{space 3} .0982657
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. margins ,  at(agency_packing = (-0.0641362)) over(execlevel) subpop(if pol_align==1) pwcompare level(90)
{res}
{txt}Pairwise comparisons of predictive margins{col 49}Number of obs{col 67}= {res} 1,091,070
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    202,129

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m00closed), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26} Delta-method{col 37}         Una{col 51}djusted
{col 14}{c |}   Contrast{col 26}   Std. Err.{col 38}     [90% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 3}execlevel {c |}
{space 5}1 vs 0  {c |}{col 14}{res}{space 2}  .053718{col 26}{space 2} .0227288{col 37}{space 5} .0163325{col 51}{space 3} .0911036
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. *
. *
. *
. * IDEOLOGICALLY ALIGNED AGENCIES: HIGH APPOINTEE POLITICIZATION -- COMPARING NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [4 & 5] * 
. margins ,  at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_align==1) 
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res} 1,091,070
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    202,129

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m00closed), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}execlevel {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .0396492{col 26}{space 2} .0031349{col 37}{space 1}   12.65{col 46}{space 3}0.000{col 54}{space 4}  .033505{col 67}{space 3} .0457935
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .0928138{col 26}{space 2} .0171469{col 37}{space 1}    5.41{col 46}{space 3}0.000{col 54}{space 4} .0592065{col 67}{space 3}  .126421
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins ,  at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_align==1) level(90)
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res} 1,091,070
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    202,129

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m00closed), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [90% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}execlevel {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .0396492{col 26}{space 2} .0031349{col 37}{space 1}   12.65{col 46}{space 3}0.000{col 54}{space 4} .0344928{col 67}{space 3} .0448057
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .0928138{col 26}{space 2} .0171469{col 37}{space 1}    5.41{col 46}{space 3}0.000{col 54}{space 4} .0646096{col 67}{space 3} .1210179
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *
. * IDEOLOGICALLY ALIGNED AGENCIES: HIGH APPOINTEE POLITICIZATION -- PREDICTED PROBABILITY DIFFERENCE BETWEEN NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [6] * 
. margins ,  at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_align==1) pwcompare
{res}
{txt}Pairwise comparisons of predictive margins{col 49}Number of obs{col 67}= {res} 1,091,070
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    202,129

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m00closed), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26} Delta-method{col 37}         Una{col 51}djusted
{col 14}{c |}   Contrast{col 26}   Std. Err.{col 38}     [95% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 3}execlevel {c |}
{space 5}1 vs 0  {c |}{col 14}{res}{space 2} .0531645{col 26}{space 2} .0173159{col 37}{space 5} .0192261{col 51}{space 3}  .087103
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. margins ,  at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_align==1) pwcompare level(90)
{res}
{txt}Pairwise comparisons of predictive margins{col 49}Number of obs{col 67}= {res} 1,091,070
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    202,129

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m00closed), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26} Delta-method{col 37}         Una{col 51}djusted
{col 14}{c |}   Contrast{col 26}   Std. Err.{col 38}     [90% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 3}execlevel {c |}
{space 5}1 vs 0  {c |}{col 14}{res}{space 2} .0531645{col 26}{space 2} .0173159{col 37}{space 5} .0246825{col 51}{space 3} .0816466
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. *
. *
. *
. * IDEOLOGICALLY ALIGNED AGENCIES: PREDICTED PROBABILITY DIFFERENCE BETWEEN HIGH & LOW APPOINTEE POLITICIZATION FOR BOTH NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [7 & 8] * 
. margins ,  at(agency_packing = (-0.0641362)) at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_align==1) contrast(atcontrast(r._at))
{res}
{txt}Contrasts of predictive margins{col 49}Number of obs{col 67}= {res} 1,091,070
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    202,129

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m00closed), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}

{res}{col 1}{text}{hline 14}{c TT}{hline 11}{hline 12}{hline 11}
{col 15}{text}{c |}         df{col 27}        chi2{col 39}     P>chi2
{res}{col 1}{text}{hline 14}{c +}{hline 11}{hline 12}{hline 11}
_at@execlevel {c |}
{space 2}(2 vs 1) 0  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.98{col 39}{space 2}   0.3229
{txt}{space 2}(2 vs 1) 1  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.05{col 39}{space 2}   0.8170
{col 1}{text}       Joint {col 15}{c |}{result}{space 2}        2{col 27}{space 3}     1.28{col 39}{space 2}   0.5264
{col 1}{text}{hline 14}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 15}{c |}{col 27} Delta-method
{col 15}{c |}   Contrast{col 27}   Std. Err.{col 39}     [95% Con{col 52}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
_at@execlevel {c |}
{space 2}(2 vs 1) 0  {c |}{col 15}{res}{space 2} .0016999{col 27}{space 2} .0017195{col 38}{space 5}-.0016704{col 52}{space 3} .0050701
{txt}{space 2}(2 vs 1) 1  {c |}{col 15}{res}{space 2} .0011463{col 27}{space 2} .0049529{col 38}{space 5}-.0085612{col 52}{space 3} .0108539
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. margins ,  at(agency_packing = (-0.0641362)) at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_align==1) contrast(atcontrast(r._at)) level(90)
{res}
{txt}Contrasts of predictive margins{col 49}Number of obs{col 67}= {res} 1,091,070
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    202,129

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m00closed), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}

{res}{col 1}{text}{hline 14}{c TT}{hline 11}{hline 12}{hline 11}
{col 15}{text}{c |}         df{col 27}        chi2{col 39}     P>chi2
{res}{col 1}{text}{hline 14}{c +}{hline 11}{hline 12}{hline 11}
_at@execlevel {c |}
{space 2}(2 vs 1) 0  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.98{col 39}{space 2}   0.3229
{txt}{space 2}(2 vs 1) 1  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.05{col 39}{space 2}   0.8170
{col 1}{text}       Joint {col 15}{c |}{result}{space 2}        2{col 27}{space 3}     1.28{col 39}{space 2}   0.5264
{col 1}{text}{hline 14}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 15}{c |}{col 27} Delta-method
{col 15}{c |}   Contrast{col 27}   Std. Err.{col 39}     [90% Con{col 52}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
_at@execlevel {c |}
{space 2}(2 vs 1) 0  {c |}{col 15}{res}{space 2} .0016999{col 27}{space 2} .0017195{col 38}{space 5}-.0011285{col 52}{space 3} .0045283
{txt}{space 2}(2 vs 1) 1  {c |}{col 15}{res}{space 2} .0011463{col 27}{space 2} .0049529{col 38}{space 5}-.0070005{col 52}{space 3} .0092932
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. *
. 
. 
. 
. ********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. ********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
.  
.   
. *** 2.2 PRESIDENTIAL OPPOSED AGENCIES: EVALUATED AT 10TH PCTILE [LOW POLITICIZATION] & 90TH PCTILE [HIGH POLITICIZATION] VALUES OF WITHINAGENCY_PACKING ///
> ***     [N = 500,873] ***
. 
. * Compute within-agency & overall distribution of agency_packing 'moderator' covariate *
. sum withinagency_packing if e(sample) & pol_opposed==1, detail

                    {txt}withinagency_packing
{hline 61}
      Percentiles      Smallest
 1%    {res}-.0641362      -1.786192
{txt} 5%    {res}-.0641362      -1.145625
{txt}10%    {res}-.0641362      -.4061343       {txt}Obs         {res}    500,873
{txt}25%    {res}-.0077981       -.177226       {txt}Sum of Wgt. {res}    500,873

{txt}50%    {res}-.0000215                      {txt}Mean          {res} .0031871
                        {txt}Largest       Std. Dev.     {res} .0575489
{txt}75%    {res}  .014702       .2104578
{txt}90%    {res}  .014702       .3527859       {txt}Variance      {res} .0033119
{txt}95%    {res} .1597132       1.010458       {txt}Skewness      {res} 1.509143
{txt}99%    {res} .1597132       1.010458       {txt}Kurtosis      {res} 8.125667
{txt}
{com}. sum agency_packing if e(sample) & pol_opposed==1, detail

                   {txt}(first) agency_packing
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}    500,873
{txt}25%    {res}  .056338              0       {txt}Sum of Wgt. {res}    500,873

{txt}50%    {res} .0788382                      {txt}Mean          {res} .1444638
                        {txt}Largest       Std. Dev.     {res} .1492799
{txt}75%    {res} .2238494              2
{txt}90%    {res} .3428571              2       {txt}Variance      {res} .0222845
{txt}95%    {res} .4851852              2       {txt}Skewness      {res} 1.693148
{txt}99%    {res} .4851852              2       {txt}Kurtosis      {res} 9.358517
{txt}
{com}. *
.  
. ** Compute Marginal Effects at Three Distinct Values of Within-Agency Distribution of agency_packing 'moderator': ///
> ** 10th Percentile (LOW) & 90TH Percentile [HIGH]
. 
. 
. * IDEOLOGICALLY OPPOSED AGENCIES: LOW APPOINTEE POLITICIZATION -- COMPARING NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [9 & 10] * 
. margins ,  at(agency_packing = (-0.0641362)) over(execlevel) subpop(if pol_opposed==1) 
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res} 1,091,070
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    500,873

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m00closed), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}execlevel {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .0265725{col 26}{space 2} .0025608{col 37}{space 1}   10.38{col 46}{space 3}0.000{col 54}{space 4} .0215534{col 67}{space 3} .0315916
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .0811453{col 26}{space 2} .0197749{col 37}{space 1}    4.10{col 46}{space 3}0.000{col 54}{space 4} .0423871{col 67}{space 3} .1199035
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins ,  at(agency_packing = (-0.0641362)) over(execlevel) subpop(if pol_opposed==1)  level(90)
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res} 1,091,070
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    500,873

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m00closed), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [90% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}execlevel {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .0265725{col 26}{space 2} .0025608{col 37}{space 1}   10.38{col 46}{space 3}0.000{col 54}{space 4} .0223603{col 67}{space 3} .0307846
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .0811453{col 26}{space 2} .0197749{col 37}{space 1}    4.10{col 46}{space 3}0.000{col 54}{space 4} .0486184{col 67}{space 3} .1136722
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *
. * IDEOLOGICALLY OPPOSED AGENCIES: LOW APPOINTEE POLITICIZATION -- PREDICTED PROBABILITY DIFFERENCE BETWEEN NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [11] * 
. margins ,  at(agency_packing = (-0.0641362)) over(execlevel) subpop(if pol_opposed==1) pwcompare
{res}
{txt}Pairwise comparisons of predictive margins{col 49}Number of obs{col 67}= {res} 1,091,070
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    500,873

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m00closed), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26} Delta-method{col 37}         Una{col 51}djusted
{col 14}{c |}   Contrast{col 26}   Std. Err.{col 38}     [95% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 3}execlevel {c |}
{space 5}1 vs 0  {c |}{col 14}{res}{space 2} .0545728{col 26}{space 2} .0178275{col 37}{space 5} .0196315{col 51}{space 3} .0895142
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. margins ,  at(agency_packing = (-0.0641362)) over(execlevel) subpop(if pol_opposed==1) pwcompare level(90)
{res}
{txt}Pairwise comparisons of predictive margins{col 49}Number of obs{col 67}= {res} 1,091,070
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    500,873

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m00closed), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26} Delta-method{col 37}         Una{col 51}djusted
{col 14}{c |}   Contrast{col 26}   Std. Err.{col 38}     [90% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 3}execlevel {c |}
{space 5}1 vs 0  {c |}{col 14}{res}{space 2} .0545728{col 26}{space 2} .0178275{col 37}{space 5} .0252491{col 51}{space 3} .0838965
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. *
. *
. *
. * IDEOLOGICALLY OPPOSED AGENCIES: HIGH APPOINTEE POLITICIZATION -- COMPARING NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [12 & 13] * 
. margins ,  at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_opposed==1)  
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res} 1,091,070
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    500,873

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m00closed), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}execlevel {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .0232523{col 26}{space 2} .0014105{col 37}{space 1}   16.49{col 46}{space 3}0.000{col 54}{space 4} .0204878{col 67}{space 3} .0260169
{txt}{space 10}1  {c |}{col 14}{res}{space 2}  .079815{col 26}{space 2}  .015049{col 37}{space 1}    5.30{col 46}{space 3}0.000{col 54}{space 4} .0503194{col 67}{space 3} .1093106
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins ,  at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_opposed==1)  level(90)
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res} 1,091,070
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    500,873

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m00closed), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [90% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}execlevel {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .0232523{col 26}{space 2} .0014105{col 37}{space 1}   16.49{col 46}{space 3}0.000{col 54}{space 4} .0209323{col 67}{space 3} .0255724
{txt}{space 10}1  {c |}{col 14}{res}{space 2}  .079815{col 26}{space 2}  .015049{col 37}{space 1}    5.30{col 46}{space 3}0.000{col 54}{space 4} .0550615{col 67}{space 3} .1045685
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *
. * IDEOLOGICALLY OPPOSED AGENCIES: HIGH APPOINTEE POLITICIZATION -- PREDICTED PROBABILITY DIFFERENCE BETWEEN NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [14] * 
. margins ,  at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_opposed==1) pwcompare
{res}
{txt}Pairwise comparisons of predictive margins{col 49}Number of obs{col 67}= {res} 1,091,070
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    500,873

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m00closed), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26} Delta-method{col 37}         Una{col 51}djusted
{col 14}{c |}   Contrast{col 26}   Std. Err.{col 38}     [95% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 3}execlevel {c |}
{space 5}1 vs 0  {c |}{col 14}{res}{space 2} .0565626{col 26}{space 2} .0140461{col 37}{space 5} .0290327{col 51}{space 3} .0840926
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. margins ,  at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_opposed==1) pwcompare level(90)
{res}
{txt}Pairwise comparisons of predictive margins{col 49}Number of obs{col 67}= {res} 1,091,070
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    500,873

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m00closed), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26} Delta-method{col 37}         Una{col 51}djusted
{col 14}{c |}   Contrast{col 26}   Std. Err.{col 38}     [90% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 3}execlevel {c |}
{space 5}1 vs 0  {c |}{col 14}{res}{space 2} .0565626{col 26}{space 2} .0140461{col 37}{space 5} .0334588{col 51}{space 3} .0796665
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. *
. *
. *
. * IDEOLOGICALLY OPPOSED AGENCIES: PREDICTED PROBABILITY DIFFERENCE BETWEEN HIGH & LOW APPOINTEE POLITICIZATION FOR BOTH NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [15 & 16] 
. margins ,  at(agency_packing = (-0.0641362)) at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_opposed==1) contrast(atcontrast(r._at))
{res}
{txt}Contrasts of predictive margins{col 49}Number of obs{col 67}= {res} 1,091,070
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    500,873

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m00closed), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}

{res}{col 1}{text}{hline 14}{c TT}{hline 11}{hline 12}{hline 11}
{col 15}{text}{c |}         df{col 27}        chi2{col 39}     P>chi2
{res}{col 1}{text}{hline 14}{c +}{hline 11}{hline 12}{hline 11}
_at@execlevel {c |}
{space 2}(2 vs 1) 0  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     7.85{col 39}{space 2}   0.0051
{txt}{space 2}(2 vs 1) 1  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.07{col 39}{space 2}   0.7864
{col 1}{text}       Joint {col 15}{c |}{result}{space 2}        2{col 27}{space 3}    19.30{col 39}{space 2}   0.0001
{col 1}{text}{hline 14}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 15}{c |}{col 27} Delta-method
{col 15}{c |}   Contrast{col 27}   Std. Err.{col 39}     [95% Con{col 52}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
_at@execlevel {c |}
{space 2}(2 vs 1) 0  {c |}{col 15}{res}{space 2}-.0033201{col 27}{space 2} .0011854{col 38}{space 5}-.0056434{col 52}{space 3}-.0009969
{txt}{space 2}(2 vs 1) 1  {c |}{col 15}{res}{space 2}-.0013303{col 27}{space 2} .0049085{col 38}{space 5}-.0109509{col 52}{space 3} .0082903
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. margins ,  at(agency_packing = (-0.0641362)) at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_opposed==1) contrast(atcontrast(r._at)) level(90)
{res}
{txt}Contrasts of predictive margins{col 49}Number of obs{col 67}= {res} 1,091,070
{txt}{col 1}Model VCE{col 14}: {res}Robust{txt}{col 49}Subpop. no. obs{col 67}={res}    500,873

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(m00closed), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:execlevel}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 2}-.0641362}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:0.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:1.execlevel}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:agency_pac~g}{space 4}{txt:=} {space 4}.014702}{p_end}
{p2colreset}{...}

{res}{col 1}{text}{hline 14}{c TT}{hline 11}{hline 12}{hline 11}
{col 15}{text}{c |}         df{col 27}        chi2{col 39}     P>chi2
{res}{col 1}{text}{hline 14}{c +}{hline 11}{hline 12}{hline 11}
_at@execlevel {c |}
{space 2}(2 vs 1) 0  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     7.85{col 39}{space 2}   0.0051
{txt}{space 2}(2 vs 1) 1  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.07{col 39}{space 2}   0.7864
{col 1}{text}       Joint {col 15}{c |}{result}{space 2}        2{col 27}{space 3}    19.30{col 39}{space 2}   0.0001
{col 1}{text}{hline 14}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 15}{c |}{col 27} Delta-method
{col 15}{c |}   Contrast{col 27}   Std. Err.{col 39}     [90% Con{col 52}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
_at@execlevel {c |}
{space 2}(2 vs 1) 0  {c |}{col 15}{res}{space 2}-.0033201{col 27}{space 2} .0011854{col 38}{space 5}-.0052699{col 52}{space 3}-.0013704
{txt}{space 2}(2 vs 1) 1  {c |}{col 15}{res}{space 2}-.0013303{col 27}{space 2} .0049085{col 38}{space 5}-.0094041{col 52}{space 3} .0067435
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. *
. *
. 
. 
. 
. 
. * FIGURE 4A [IDEOLOGICALLY ALIGNED AGENCIES] -- PLACEMENT OF ESTIMATES: 1  2  3      4  5  6     7  8
. * FIGURE 4B [IDEOLOGICALLY OPPOSED AGENCIES] -- PLACEMENT OF ESTIMATES: 9 10 11     12 13 14    15 16
. 
. *** FOR FIGURES 5A & 5B -- CONVERT ESTIMATES 3, 6, 7, & 8 [IDEOLOGICALLY ALIGNED]  PLUS 11, 14, 15 & 16 [IDEOLOGICALLY OPPOSED] IN TERMS OF THE FOLLOWING: (A) PREDICTED NUMBER OF CONTRACTS AFFECTED AMONG LOW RISK CONTRACTS IN
. *                          SAMPLE, (B) PREDICTED TOTAL MONETARY VALUE AFFECTED AMONG LOW RISK CONTRACTS IN SAMPLE, & (C) PREDICTED PROPORTION OF MONETARY VALUE AFFECTED AMONG LOW RISK CONTRACTS IN SAMPLE  
. 
. * FIGURE 5A [IDEOLOGICALLY ALIGNED AGENCIES] -- PLACEMENT OF ESTIMATES:  3(A-C)    6(A-C)          7(A-C)    8(A-C)
. * FIGURE 5B [IDEOLOGICALLY OPPOSED AGENCIES] -- PLACEMENT OF ESTIMATES: 11(A-C)   14(A-C)         15(A-C)   16(A-C) 
. 
. 
. *** A: PREDICTED NUMBER OF CONTRACTS AFFECTED: This is computed as marginal probability effect × number of multiple bid and fixed cost procurements in the regression sample, conditional on both a given president-agency ideological configuration [ALIGN/NEUTRAL/OPPOSED] and organizational level for procurement agreements [EXECUTIVE LEVEL/NON-EXECUTIVE LEVEL].
. 
. *
. *
. 
. *** B: PREDICTED CONSTANT DOLLAR VALUE IMPACT: Predicated by Predicted Number of Multiple Bid and Fixed Cost Contracts Affected Relative to the total 2009 constant dollar value of these subset of observations in the regression sample [E.G., ALIGNED | EXECUTIVE LEVEL;  ALIGNED | NON-EXECUTIVE LEVEL; ETC....].
. 
. *
. *
. 
. *** C: PREDICTED PROPORTIONAL CONSTANT DOLLAR VALUE IMPACT [i.e., B] RELATIVE TO SUM/TOTAL OF ALL SAMPLE CONTRACTS OF HIGH GOVERNMENT RISK: 
. 
. 
. 
.  
.  
.  
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. save "C:\Users\gk57526\Dropbox\Executive Particularism (Matt Zarit)\Contract Duration\May 2020\zarit_contractingdata_duration.FAR threshold.05-29-2021.GAK.dta", replace
{txt}file C:\Users\gk57526\Dropbox\Executive Particularism (Matt Zarit)\Contract Duration\May 2020\zarit_contractingdata_duration.FAR threshold.05-29-2021.GAK.dta saved

{com}. 
. 
. 
. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\gk57526\Dropbox\Executive Particularism (Matt Zarit)\Contract Duration\May 2020\Output Files\selling_out.MANUSCRIPT MODELS.06-01-2021.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 1 Jun 2021, 11:40:43
{txt}{.-}
{smcl}
{txt}{sf}{ul off}